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Economics (Econometrics and Big Data) MSc - 2023/4

Awarding body

University of Surrey

Teaching institute

University of Surrey

Framework

FHEQ Levels 6 and 7

Final award and programme/pathway title

MSc Economics (Econometrics and Big Data)

Subsidiary award(s)

Award Title
PGDip Economics (Econometrics and Big Data)
PGCert Economics (Econometrics and Big Data)

Modes of study

Route code Credits and ECTS Credits
Full-time PLC61017 180 credits and 90 ECTS credits

JACs code

100450, 100604, 10075

QAA Subject benchmark statement (if applicable)

Other internal and / or external reference points

N/A

Faculty and Department / School

Faculty of Arts and Social Sciences - Economics

Programme Leader

MANDILARAS Alexandros (Economics)

Date of production/revision of spec

02/12/2022

Educational aims of the programme

  • Engage the whole learner with a transformative curriculum that promotes advanced knowledge and offers ample opportunity to do, create, develop, and self-reflect
  • Enhance student employability, resilience and resourcefulness, global and cultural capabilities, sustainability awareness, and digital capabilities (the five pillars of the University of Surrey┬┐s Curriculum Framework) through a range of appropriate, contemporary, and engaging pedagogical methods
  • Develop an appreciation of economics, both as an intellectual discipline and as an important contributor to an understanding of the world in ways which are of practical significance, with a focus on the use of econometric techniques applied to big data
  • Facilitate effective learning and communication within an open, scholarly environment by fostering knowledge discovery and the creation of personal meaning
  • Promote the capacity for independent study through the completion of an MSc dissertation in econometrics and big data
  • Prepare students for a range of careers in which advanced quantitative analysis and independent thought, as well as the qualities developed through the application of the curriculum framework, can contribute to self-fulfilment and/or an improvement in social and economic welfare
  • Enable better performing students completing the programme to progress to postgraduate research in economics and econometrics

Programme learning outcomes

Attributes Developed Awards Ref.
Demonstrate an advanced understanding of the core principles in microeconomics, macroeconomics, and econometrics with a focus on the use of econometric techniques applied to big data K PGCert, PGDip, MSc
Show a systematic understanding of the techniques used in contemporary economic research K PGDip, MSc
Establish a critical awareness of current and advanced problems and the methodologies that are most common in economics and econometrics K PGCert, PGDip, MSc
Evidence understanding of different methodologies and an ability to choose amongst these as required in different settings, with a special reference to big data C PGDip, MSc
Combine relevant theory and analytical techniques with insightful data analysis to produce convincing explanations of economic phenomena C MSc
Comprehend published economic research papers and integrate the implications of published research in own studies C PGDip, MSc
Demonstrate high-level problem-solving skills P PGDip, MSc
Select appropriate techniques to evaluate policy interventions P PGDip, MSc
Communicate the results of independent research in the form of a dissertation P MSc
Display programming skills to be used in estimations of models with big data P PGDip, MSc
Exhibit Interpersonal and generic skills, such as communication, literacy, numeracy, IT T PGCert, PGDip, MSc

Attributes Developed

C - Cognitive/analytical

K - Subject knowledge

T - Transferable skills

P - Professional/Practical skills

Programme structure

Full-time

This Master's Degree programme is studied full-time over one academic year, consisting of 180 credits at FHEQ level 7*. All modules are semester based and worth 15 credits with the exception of project, practice based and dissertation modules.
Possible exit awards include:
- Postgraduate Diploma (120 credits)
- Postgraduate Certificate (60 credits)
*some programmes may contain up to 30 credits at FHEQ level 6.

Programme Adjustments (if applicable)

N/A

Modules

Opportunities for placements / work related learning / collaborative activity

Associate Tutor(s) / Guest Speakers / Visiting Academics N
Professional Training Year (PTY) N
Placement(s) (study or work that are not part of PTY) N
Clinical Placement(s) (that are not part of the PTY scheme) N
Study exchange (Level 5) N
Dual degree N

Quality assurance

The Regulations and Codes of Practice for taught programmes can be found at:

https://www.surrey.ac.uk/quality-enhancement-standards

Please note that the information detailed within this record is accurate at the time of publishing and may be subject to change. This record contains information for the most up to date version of the programme / module for the 2023/4 academic year.